A prediction algorithm for the smoothing process of large-aperture optical components with complex periodic middle-spatial frequency errors

Jing Hou, Shi Wei Liu, Xian Hua Chen, Qing Hua Zhang, Jian Wang, Bo Zhong, Wen Hui Deng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Due to the complexity and inhomogeneity of the distribution of the middle-spatial frequency errors (MSFE), the existing theoretical models cannot realize the manufacturability prediction of the smoothing process for the MSFE on the largeaperture optical components. Therefore, based on the parameterized time-domain smoothing model and the idea of regional division, a prediction algorithm suitable for the smoothing process of the MSFE in complex periods is proposed in this paper. The relevant verifiable experiments are carried out. The prediction results are in good agreement with the real data, which indicates that the prediction algorithm proposed in this paper can be applied to predict the smoothing process of the MSFE of large-aperture optical components and guide the polishing process.

Original languageEnglish
Title of host publication10th International Symposium on Advanced Optical Manufacturing and Testing Technologies
Subtitle of host publicationAdvanced Optical Manufacturing and Metrology Technologies
EditorsMingbo Pu, John H. Marsh, Bin Fan, Yifan Dai, Xiong Li, Xiangang Luo
PublisherSPIE
ISBN (Electronic)9781510650176
DOIs
StatePublished - 2021
Externally publishedYes
Event10th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing and Metrology Technologies 2021 - Chengdu, China
Duration: 14 Jun 202117 Jun 2021

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12071
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference10th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing and Metrology Technologies 2021
Country/TerritoryChina
CityChengdu
Period14/06/2117/06/21

Keywords

  • Complex periodic
  • Middle-spatial frequency errors
  • Prediction
  • Smoothing

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